Thomas E. Woolley

68 papers receiving 1.4k citations

Peers

Thomas E. Woolley
Comparison fields: 5 of 135
  • Modeling and Simulation 185
  • Cell Biology 283
  • Computer Networks and Communications 290
  • Developmental Biology 22
  • Statistics, Probability and Uncertainty 72
Replace Frederic Y. M. Wan with:
Frederic Y. M. Wan United States
Anna Marciniak‐Czochra Germany
James M. Osborne United Kingdom
Dagmar Iber Switzerland
Stéphanie Portet Canada
Kevin J. Painter United Kingdom
David M. Umulis United States
Markus R. Owen United Kingdom
Václav Klika Czechia
P. K. Maini United Kingdom
Thomas E. Woolley relative to Frederic Y. M. Wan United States Frederic Y. M. Wan's profile →
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Citations per year

Countries citing papers authored by Thomas E. Woolley

Since Specialization
Citations

This map shows the geographic impact of Thomas E. Woolley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas E. Woolley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Woolley more than expected).

Fields of papers citing papers by Thomas E. Woolley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Woolley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas E. Woolley. The network helps show where Thomas E. Woolley may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas E. Woolley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas E. Woolley Line = papers co-authored together Thomas E. Woolley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012180
2 2011110
3 201999
4 201269
5 202158
6 201149
7 202143
8 201240
9 201938
10 201837
11 202137
12 201734
13 201331
14 201729
15 201928
16 201826
17 201925
18 201825
19 201824
20 201024

About Thomas E. Woolley

Thomas E. Woolley is a scholar working on Molecular Biology, Computer Networks and Communications, Biomedical Engineering, Cell Biology and Modeling and Simulation, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Probabilistic and Robust Engineering Design (8 papers), Elasticity and Material Modeling (7 papers), Mathematical Biology Tumor Growth (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Cellular Automata and Applications (5 papers) and Skin and Cellular Biology Research (5 papers). The work is most often cited by research in Modeling and Simulation (185 citations), Cell Biology (283 citations), Computer Networks and Communications (290 citations), Developmental Biology (22 citations) and Statistics, Probability and Uncertainty (72 citations). Thomas E. Woolley has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Philip K. Maini, Eamonn A. Gaffney, Ruth E. Baker, Giuseppe Viglialoro, Alain Goriely, L. Angela Mihai, Andrew L. Krause, Rafael A. Barrio, Cheryll Tickle and J. L. Aragón. Their work appears in journals such as Journal of Theoretical Biology, Journal of The Royal Society Interface, Physical review. E, Bulletin of Mathematical Biology and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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